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IBM Foundations of IBM Cloud

Jan. 29, 2019 — a new research collaboration between the Enabling functional-Scale Quantum Computing (EPiQC) task led with the aid of the college of Chicago and IBM will support carry the promising way forward for quantum computing nearer to the current with the aid of sharing supplies and practicing the subsequent era of quantum computer scientists.

EPiQC is a multi-institutional effort led with the aid of researchers at the UChicago branch of laptop Science and funded by way of the countrywide Science basis with the goal of shortening the timeline to practical quantum computing. by means of targeting software to particular technologies, EPiQC will greatly cut back the dimension and reliability vital for quantum machines to run useful courses.

through this collaboration, EPiQC will collaborate with the IBM quantum computing initiative, IBM Q, on new software that optimizes IBM’s superconducting quantum know-how. EPiQC researchers will acquire precedence research entry to IBM Q applied sciences and records to strengthen and verify new quantum utility systems.

“Quantum hardware is advancing rapidly, however quantum software could be critical to correctly the usage of that expertise and realizing the advantage of quantum tactics in chemistry, physics, and different fields,” stated Fred Chong, Seymour Goodman Professor of desktop Science at UChicago and lead PI for EPiQC. “Our collaboration with IBM Q is precisely the type of educational-business collaboration that should be necessary to attain the quantum period of computing as right away as possible.”

through its open cloud-based IBM Q experience, launched over two years ago, and its quantum tips science package (Qiskit), IBM makes it possible for any individual on the earth to scan the usage of their actual quantum computing hardware. Over 130+ analysis papers authored through non-IBM third-birthday party scientists were published using these equipment. IBM also based the IBM Q network in 2017, the first initiative to construct commercially purchasable frequent quantum computers for enterprise and science.

“Qiskit and EPiQC utility may be the groundwork of future quantum know-how”, said Jay Gambetta, IBM Fellow. “Getting college students and lecturers working with trade towards these equipment will enable us to explore the entire knowledge of noisy intermediate-scale quantum computer systems.”

specialists predict that quantum computer systems will ultimately operate complex calculations in chemistry, cryptography, and different fields which are prohibitively gradual and even unimaginable for classical computers. Yet a significant gap remains between the capabilities of nowadays’s quantum applied sciences and the algorithms proposed by way of computational theorists. Connecting both would require no longer only extra powerful machines — as measured in qubits, the simple unit of a quantum laptop — but a full application “stack” that permits computer programmers to manage quantum hardware and use it to remedy elaborate problems.

EPiQC unites researchers from UChicago, MIT, Princeton, Duke and the college of California at Santa Barbara for the co-design of the hardware, application and algorithms necessary to shut this hole. As part of that effort, EPiQC will work with business partners reminiscent of IBM to advance and share new analysis equipment. In June 2019, EPiQC will convene a quantum computing trade summit as a part of the ACM Federated analysis Computing conference in Phoenix.

EPiQC and IBM have already collaborated on full-stack application infrastructure it's accessible as a part of the Qiskit kit, which attendees ran on the IBM Q adventure at two recent EPIQC quantum computing tutorials. Future projects will use testbed access to IBM quantum machines and performance facts to develop new application methods that optimize quantum applications to run on fewer qubits. The research collaboration will additionally guide UChicago training and outreach efforts to instruct young desktop scientists in quantum techniques.

“This collaboration is first rate for college students, because they're going to profit broader publicity to business and work closely with IBM researchers,” Chong talked about. “academic-business connections will support put together our personnel for a wholly new branch of computing device science and speed up the pace of quantum computing design and purposes.”

In 2016, VMware and IBM entered right into a strategic partnership to deliver customers with entry to a turnkey, native VMware ambiance in IBM Cloud’s facts facilities (found on each continent backyard of Antarctica!). VMware valued clientele are able to “lift and shift”—and sooner or later, seriously change —their environments on-premises onto the IBM Cloud without wanting to refactor their applications and workloads. over the past two years, we now have created a number of interesting options for VMware workloads, and that i desire to spotlight probably the most compelling value propositions.

1) Hypervisor and full administrator entry

VMware solutions on IBM Cloud offers customers with full bare metal and hypervisor entry and entire administrative entry to vCenter, PSC, NSX, and any add-on carrier. purchasers deploying their VMware ambiance in IBM Cloud possess the equal manage, protection, and performance as they do with their on-premise ambiance. We provide a very native VMware ambiance, requiring no alterations to latest tooling or processes. The only change is that it's consumed in a Cloud model.

2) assorted SDDC configurations and hardware alternate options

We needless to say purchasers have distinctive necessities, and we embedded flexibility into our answer. valued clientele have the choice of two automatic application-described facts center (SDDC) configurations—VMware vCenter Server (VCS) and VMware Cloud groundwork (VCF)—which are immediately provisioned in hours at facts facilities all over the world. inside VCS and VCF, purchasers can tailor the environment to their workloads because we present six distinct compute alternate options, 9 RAM alternate options, and two storage forms (vSAN and NFS), proposing over 200 different decisions.

3) diverse storage options

Some workloads run improved on diverse storage types, so we desired to supply robustness and selection to be sure that we deployed the optimized storage for the customers’ workloads and purposes. shoppers can opt for vSAN All-Flash, persistence File Storage, and NetApp ONTAP opt for. customers ingesting Veeam and IBM Spectrum give protection to Plus (our backup options) will quickly be able to use IBM Cloud Object Storage.

four) security and compliance

Recognizing that safety is without doubt one of the greatest factors for hesitation in Cloud adoption, we designed our VCS and VCF solutions to alleviate these concerns. Our VCS and VCF are hosted on single, dedicated environments, which eliminates the “noisy neighbor” effect and information corruptions from other tenants. Our VMware hardware attestation to the chipset guaranteeing workloads run on relied on servers with role-primarily based entry, as well as Intel TXT that offers encryption on the chip-stage. VCS and VCF also integrate trade-main safety solutions, such as Intel/HyTrust, F5, and Fortinet. HyTrust gives information sovereignty and encryption, F5 allows gateway load balancing and uniform security guidelines, and Fortinet makes it possible for constant security guidelines between on-premise and IBM Cloud. With entry to the hypervisor and naked steel, customers can ensure the technical, business, and personnel controls which are in region aid meet compliance and auditing necessities.

5) company continuity and excessive availability

purchasers are expecting uptime 24/7/365, and with the starting to be threats of cyber assaults and natural disasters, keeping uptime has turn into standard. We appreciate that having a resiliency strategy is now a necessity. VMware solutions on IBM Cloud has three resiliency equipment—Zerto (catastrophe healing), Veeam (disaster restoration and backup), and IBM Spectrum protect Plus (backup)—that allow consumers to reduce downtime. These choices are hypervisor-based mostly options. via exposing our hypervisor, valued clientele have access to the native superior points and functionalities of these solutions. IBM Resiliency gives managed services for Veeam and Zerto. With our fresh announcement of VMware for Mission critical Workloads, we provide valued clientele with excessive availability inside a knowledge center location with an SLA of ninety nine.ninety nine% uptime.

6) community backbone and geographic attain

VMware options for IBM Cloud is attainable at 50+ facts facilities worldwide. as soon as a customer has deployed an atmosphere within the IBM Cloud, they could comfy through our deepest community spine and replicate and migrate their workloads to other IBM Cloud statistics centers for gratis. Our unmetered inner most international community spine enables unmatched connectivity as clients can easily migrate workloads between their deployed environments. for example, when you've got a construction atmosphere and a backup atmosphere in an extra facts core, the each day/weekly expense of trade can be completely free, saving you a big cost.

7) Migration made effortless

We mixed our VMware vCenter Server (VCS) and VMware Hybrid Cloud Extension (HCX) in VMware vCenter Server with Hybridity Bundle, allowing clients to get the flexibility of VCS and the migration capabilities of HCX. HCX enables customers to create an abstraction layer so as to allow them emigrate and modernize their on-premise atmosphere to the cloud without altering IP or MAC addresses. We produce other migration tools, equivalent to Zerto and NSX, which allow the consumers to opt for a migration answer that suits their workloads top of the line. if you'd like tips with migration, IBM Migration factory offers a provider the place we work onsite to design, plan, and migrate your environment into the cloud.

8) VMware capabilities

IBM and VMware have been companions for a long time, and all through the years, IBM has cultivated extensive expertise on VMware. we now have over 1,000 VMware licensed experts and business companions who can supply managed features for VMware solution in IBM Cloud if a consumer prefers to have their VMware ambiance managed. IBM Cloud become first to market delivering a VMware Cloud foundation within the Cloud, and IBM Cloud become currently awarded the VMware 2017 associate of the yr Award, highlighting our VMware talents and innovation.

9) Modernize apps to speed up innovation

Many businesses looking to leverage cloud can now “elevate and radically change” their heritage purposes and accelerate innovation via migrating those applications to the cloud and lengthening them into new public cloud features. Leveraging IBM Cloud private and IBM functions to re-architect or in part refactor heritage purposes, customers can containerize stateless apps with microservices and preserve stateful parts of their workloads in VMware. through the modernization and transformation system, consumers get a direction to cloud-native functions with DevOps, Microservices, Containers, and a good deal greater.

10) Leverage and optimize investment in IBM Middleware

Many enterprises use IBM Middleware items, comparable to WebSphere and API join, that might have Mission important equipment of checklist on distinct on-premise platforms. valued clientele can movement these information into the IBM Cloud, proposing new tiers of insights and improvements, by way of leveraging IBM’s great array of PaaS features, similar to Watson AI, IoT, Analytics, WebSphere as a carrier, and a lot of extra.

VMware solutions on IBM Cloud gives an extension of the customers’ on-premise VMware workloads in a flexible and saleable cloud model.

Some traders see a lot of cost in Oracle (NYSE: ORCL) shares. The database-software massive's personal management, for one, these days referred to as it "an amazing purchase" and certified an extra $10 billion of stock buybacks.

that's now not necessarily incorrect, however you wouldn't have to seem too a long way afield to find a better price stock in the tech sector. at this time, or not it's hard to beat the lengthy-term price you'll get from IBM (NYSE: IBM) shares.

A stack of coins, topped with a bundle of rolled-up $10 expenses. there's a shadow of this association on the wall in the back of it that appears like a rocket in flight.

extra

photograph source: Getty pictures.

Oracle's story

Oracle is a former titan of enterprise on its approach down. a new breed of database structures has arrived, challenging no longer handiest Oracle's business model but additionally the technical foundations of its flagship product line. the future belongs to so-known as NoSQL databases, which can prepare and manipulate unstructured data at a scale and speed it's absolutely alien to Oracle-fashion relational databases.

Even Oracle is aware of it and is taking part in catch-up with its own cloud-based mostly NoSQL platform. nonetheless it's too little, too late, and Oracle comes with the inaccurate sort of highway cred to tug off that transformation.

IBM's story

IBM discovered itself in an analogous condition 5 years in the past. Ex-CEO Sam Palmisano had pulled massive Blue up by its bootstraps, creating a celebrated enterprise mannequin where one business offered all of the hardware, application, and associated functions it may take to run a a hit IT operation at business scale. Oracle turned into one of the crucial many would-be IBM clones that attempted to reproduction Palmisano's unbelievable template.

but markets alternate, and companies like IBM and Oracle must trade along with the ambiance if they wish to stay important and a hit. massive Blue's present CEO Ginni Rometty stepped in with a clear imaginative and prescient of dramatic market changes and a mandate to do anything become essential to stay abreast with the new times. Rometty did not simply observe that alternate however begun spearheading the exchange appropriate away.

Half-a-decade later, cloud computing is the buzzword of option around the whole IT business; this is exactly the place Rometty turned into aiming all along. The business has sacrificed billions of greenbacks in annual revenues by using shedding old-fashioned computing-hardware gadgets to refocus on cloud-based mostly information analytics and administration. synthetic intelligence performs a large half in IBM's new method. So does company mobility, and the business is a number one issuer of blockchain applied sciences for company purchasers.

when you are playing buzzword bingo at domestic, your gaming card should be fairly full by means of now. that is great. As I spoke of, IBM is driving lots of these trends rather than just following alongside.

These so-referred to as strategic imperatives accounted for greater than half of IBM's total revenue in 2018 and should most effective continue to outgrow the closing legacy operations over time. We're taking a look at a hockey-stick second for IBM's long-term revenue growth, the place the annual increases should still birth stacking up very directly after just a few years of falling income. The equal trends may still additionally extend IBM's profit margins over the following few years.

The upshot: big Blue is profitable -- and the stock is low priced!

IBM's radical approach shift has been hard on its inventory expenditures. Its shares have misplaced 24% of their cost over the ultimate 5 years, or a much less hair-raising 9% in case you account for its beneficiant dividend payouts along the manner. these days, IBM shares are buying and selling at just 9.5 times forward salary and 12 times trailing free money flows. it truly is a very good bargain for an extended-running turnaround story it really is bouncing off the rock-backside deep end of a 5-year trough.

Story continues

Glancing over at Oracle, I see an organization struggling to sustain with the changing markets as opposed to setting the tone for a new period. Its shares are trading for 14 instances forward profits and 16.6 times trailing cash flows. You simply cannot persuade me that Oracle's shares are a higher purchase than IBM's right now.

greater From The Motley idiot

Anders Bylund owns shares of IBM. The Motley idiot owns shares of Oracle. The Motley idiot is brief shares of IBM and has right here alternatives: lengthy January 2020 $30 calls on Oracle. The Motley idiot has a disclosure coverage.

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As part of its new LF Edge initiative for open source edge computing, the Linux Foundation announced a new Project EVE based on Zededa’s cloud-native based virtualization engine for embedded containers.
The LF Edge umbrella organization for open source edge computing that was announced by the Linux Foundation last week includes two new projects: Samsung Home Edge and Project EVE. We don’t know much about Samsung’s project for home automation, but we found out more about Project EVE, which is based on Zededa’s edge virtualization technology. Last week, we spoke with Zededa co-founder Roman Shaposhnik about Project EVE, which provides a cloud-native based virtualization engine for developing and deploying containers for industrial edge computers (see below).

LF Edge aims to establish “an open, interoperable framework for edge computing independent of hardware, silicon, cloud, or operating system.” It is built around The Linux Foundation’s telecom-oriented Akraino Edge Stack, as well as its EdgeX Foundry, an industrial IoT middleware project.

Like the mostly proprietary cloud-to-edge platforms emerging from Google (Google Cloud IoT Edge), Amazon (AWS IoT), Microsoft (Azure Sphere), and most recently Baidu (Open Edge), among others, the LF Edge envisions a world where software running on IoT gateway and edge devices evolves top down from the cloud rather than from the ground up with traditional embedded platforms.

The Linux Foundation, which also supports numerous “ground up” embedded projects such as the Yocto Project and Iotivity, but with LF Edge it has taken a substantial step toward the cloud-centric paradigm. The touted benefits of a cloud-native approach for embedded include easier software development, especially when multiple apps are needed, and improved security via virtualized, regularly updated container apps. Cloud-native edge computing should also enable more effective deployment of cloud-based analytics on the edge while reducing expensive, high-latency cloud communications.

None of the four major cloud operators listed above are currently members of LF Edge, which poses a challenge for the organization. However, there’s already a deep roster of companies onboard, including Arm, AT&T, Dell EMC, Ericsson, HPE, Huawei, IBM, Intel, Nokia Solutions, Qualcomm, Radisys, Red Hat, Samsung, Seagate, and WindRiver (see the LF Edge announcement for the full list.)

With developers coming at the edge computing problem from both the top-down and bottom-up perspectives, often with limited knowledge of the opposite realm, the first step is agreeing on terminology. Back in June, the Linux Foundation launched an Open Glossary of Edge Computing project to address this issue. Now part of LF Edge, the Open Glossary effort “seeks to provide a concise collection of terms related to the field of edge computing.”

There’s no mention of Linux in the announcements for the LF Edge projects, all of which propose open source, OS-agnostic, approaches to edge computing. Yet, there’s no question that Linux will be the driving force here.

Project EVE aims to be the Android of edge computing

Project EVE is developing an “open, agnostic and standardized architecture unifying the approach to developing and orchestrating cloud-native applications across the enterprise edge,” says the Linux Foundation. Built around an open source EVE (Edge Virtualization Engine) version of the proprietary Edge Virtualization X (EVx) engine from Santa Clara startup Zededa, Project EVE aims to reinvent embedded using Docker containers and other open source cloud-native software such as Kubernetes. Cloud-native edge computing’s “simple, standardized orchestration” will enable developers to “extend cloud applications to edge devices safely without the need for specialized engineering tied to specific hardware platforms,” says the project.

In addition to its lightweight virtualization engine, Project EVE also provides a zero-trust security framework. In conversation with Linux.com, Zededa co-founder Roman Shaposhnik proposed to consign the word “embedded” to the lower levels of simple, MCU-based IoT devices that can’t run Linux. “To learn embedded you have to go back in time, which is no longer cutting it,” said Shaposhnik We have millions of cloud-native software developers who can drive edge computing. If you are familiar with cloud-native, you should have no problem in developing edge-native applications.”

If Shaposhnik is critical of traditional, ground-up embedded development, with all its complexity and lack of security, he is also dismissive of the proprietary cloud-to-edge solutions. “It’s clear that building silo’d end-to-end integration cloud applications is not really flying,” he says, noting the dangers of vendor lock-in and lack of interoperability and privacy.

To achieve the goals of edge computing, what’s needed is a standardized, open source approach to edge virtualization that can work with any cloud, says Shaposhnik. Project EVE can accomplish this, he says, by being the edge computing equivalent of Android.

“The edge market today is where mobile was in the early 2000s,” said Shaposhnik, referring to an era when early mobile OSes such as Palm, BlackBerry, and Windows Mobile created proprietary silos. The iPhone changed the paradigm with apps and other advanced features, but it was the far more open Android that really kicked the mobile world into overdrive.

“Project EVE is doing with edge what Android has done with mobile,” said Shaposhnik. The project’s standardized edge virtualization technology is the equivalent of Android package management and Dalvik VM for Java combined, he added. “As a mobile developer you don’t think about what driver is being used. In the same way our technology protects the developer from hardware complexity.”

Project EVE is based on Zededa’s EVx edge virtualization engine, which currently runs on edge hardware from partners including Advantech, Lanner, SuperMicro, and Scalys. Zededa’s customers are mostly large industrial or energy companies that need timely analytics, which increasingly requires multiple applications.

“We have customers who want to optimize their wind turbines and need predictive maintenance and vibration analytics,” said Shaposhnik. “There are a half dozen machine learning and AI companies that could help, but the only way they can deliver their product is by giving them a new box, which adds to cost and complexity.”

A typical edge computer may need only a handful of different apps rather than the hundreds found on a typical smartphone. Yet, without an application management solution such as virtualized containers, there’s no easy way to host them. Other open source cloud-to-edge solutions that use embedded container technology to provide apps include the Balena IoT fleet management solution from Balena (formerly Resin.io) and Canonical’s container-like Ubuntu Core distribution.

Right now, the focus is on getting the open source version of EVx out the door. Project EVE plans to release a 1.0 version of the EVE in the second quarter along with an SDK for developing EVE edge containers. An app store platform will follow later in the year. More information may be found in this Zededa blog post.

Rumor has it that Amazon’s AWS cloud computing platform will soon launch its own Kubernetes-based container management service. Those rumors are getting a bit more concrete because AWS today joined the Cloud Native Computing Foundation (CNCF), the open source home of the Kubernetes project, as a top-level Platinum member. With this, all of the major public cloud providers, including Microsoft, Google and IBM, are now part of this Linux Foundation-based group, which aims to bring modern cloud management techniques to the masses.

Amazon already hosts the vast majority of Kubernetes deployments, according to a recent survey, so it shouldn’t come as a surprise that Amazon is joining the foundation that, to a large degree, is steering this project. It’s worth noting, though, that AWS makes use of plenty of open source projects, and also regularly releases its own projects on GitHub. The company also has been a Linux Foundation member since 2013 and is a founding member of the Core Infrastructure Initiative. Unlike all of its main competitors, it isn’t a member of the Cloud Foundry foundation, though.

As for the CNCF, Amazon has been contributing to containerd, the group’s container runtime. “AWS plans to take an active role in the cloud native community, contributing to Kubernetes and other cloud native technologies such as containerd, CNI, and linkerd,” the CNCF notes in today’s announcement. Adrian Cockcroft, the VP of Cloud Architecture Strategy at AWS, will join CNCF’s board.

In his announcement, Cockcroft did not talk about what Amazon’s short-term plans for Kubernetes are, but given the wide-spread support for the platform — which is giving Google and Microsoft an opening in competing with AWS on this quickly expanding field — I would be surprised if we didn’t see increased direct support for Kubernetes on AWS (you can, of course, already use it on AWS, but only with the help of tools from third-party vendors).

An IBM chip comprising several Analog AI devices used for in-memory computing.

Today IBM announced an ambitious plan to create a global research hub to develop next-generation AI hardware and expand their joint research efforts in nanotechnology. As part of a $3 billion commitment, the IBM Research AI Hardware Center will be the nucleus of a new ecosystem of research and commercial partners collaborating with IBM researchers to further accelerate the development of AI-optimized hardware innovations.

IBM headquarters for the AI Hardware Center will be on the SUNY Polytechnic campus in Albany, New York, and the Center will advance a range of technologies from chip-level devices, materials and architecture to the software supporting AI workloads. These efforts will push the limits of chip technology needed to meet the emerging demands of cloud computing, Big Data, and cognitive computing systems.

The groundbreaking work that these engineers will conduct at SUNY Polytechnic Institute reflects IBM’s long-term commitment to inventing the future of microelectronics,” said Dr. John Kelly, Senior Vice President, Solutions Portfolio and Research at IBM. “The IBMers working at SUNY Poly possess unique skills and capabilities, positioning our company to drive development of the next generation of chips and to fuel a new era of computing.”

IBM Research AI Hardware Center is developing a roadmap for 1,000x improvement in AI compute performance efficiency over the next decade, with a pipeline of Digital AI Cores and Analog AI Cores.

The $3 billion investment that IBM announced in July 2014 focuses on the development of basic materials science to make it possible to shrink semiconductors to 7 nanometers and beyond, as well as support research into completely new areas beyond traditional silicon architectures, such as synaptic computing, quantum devices, carbon nanotubes, and photonics, that could transform computing of all kinds.

Partnerships within an open ecosystem are key to advancing hardware and software innovation that are the foundation of AI. New IBM Research AI Hardware Center partnerships announced today will aid in those continuing efforts. Samsung is a strategic IBM partner in both manufacturing and research. Mellanox Technologies is a leading supplier of high-performance, end-to-end smart interconnect solutions that accelerate many of the world’s leading AI and machine learning platforms. Synopsys is the leader in software platforms, emulation and prototyping solutions, and IP for developing the high-performance silicon chips and secure software applications that are driving advancements in AI.

IBM analog AI cores are part of an in-memory computing approach in performance efficiency which improves by suppressing the so-called Von Neuman bottleneck by eliminating data transfer to and from memory. Deep neural networks are mapped to analog cross point arrays and new non-volatile material characteristics are toggled to store network parameters in the cross points. Learn how this technology works in our live interactive demo.

IBM and SUNY Poly have built a highly successful, globally recognized partnership at the multi-billion dollar Albany NanoTech Complex, highlighted by the institution’s Center for Semiconductor Research (CSR), a $500 million program that also includes the world’s leading nanoelectronics companies. The CSR is a long-term, multi-phase, joint R&D cooperative program on future computer chip technology. IBM was a founding member of Governor Andrew M. Cuomo’s Global 450 Consortium. It continues to provide student scholarships and fellowships at the university to help prepare the next generation of nanotechnology scientists, researchers and engineers.